SIO: A Spatioimageomics Pipeline to Identify Prognostic Biomarkers Associated with the Ovarian Tumor Microenvironment

SIO: A Spatioimageomics Pipeline to Identify Prognostic Biomarkers Associated with the Ovarian Tumor Microenvironment

Stromal and immune cells in the tumor microenvironment (TME) have been shown to directly affect high-grade serous ovarian cancer (HGSC) malignant phenotypes, however, how these cells interact to influence HGSC patients’ survival remains largely unknown. To investigate the cell-cell communication in...

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Bibliographic Details
Main Authors: Ying Zhu, Sammy Ferri-Borgogno, Jianting Sheng, Tsz-Lun Yeung, Jared K. Burks, Paola Cappello, Amir A. Jazaeri, Jae-Hoon Kim, Gwan Hee Han, Michael J. Birrer, Samuel C. Mok, Stephen T. C. Wong
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Cancers
Subjects:
cancer microenvironment
imaging mass cytometry
deep learning
transcriptomic profiling
high-grade serous ovarian cancer
tumor biomarkers
Online Access:https://www.mdpi.com/2072-6694/13/8/1777

Internet

https://www.mdpi.com/2072-6694/13/8/1777

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